Dual-chip RFID On-skin Tag for Bilateral Breath Monitoring

Stendardo, G.; Bianco, Giulio Maria; MONTECCHIA, F.; Marrocco, Gaetano

doi:10.1109/rfid52461.2021.9444377

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…To obtain a better accuracy, bilateral breath measurements can be achieved by a dual-chip sensor tags as in [191].…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics

Bianco,

Occhiuzzi,

Panunzio

et al. 2021

Preprint

Self Cite

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The COVID-19 pandemic forced mankind to unprecedented global challenges, drastically changing our way of living. To minimize life losses, multi-level strategies requiring collective efforts were adopted, while waiting for researchers and Pharma companies to develop vaccines. The management of so complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT). Among the several technologies converging to IoT, the Radiofrequency Identification (RFID), based on backscattering communication, is probably the approach that is most suitable to both the micro (the user) and the macro (the processes) scale. Accordingly, a single infrastructure can support almost all the logistic and monitoring issues related to the war against a pandemic. Based on the earned COVID-19 experience, this paper is a guide about how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks. The three pillars of the contrast are addressed, namely: 1) use and managing of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms. For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and on the state of the art of worldwide research. The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data, so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events, in compliance with privacy and security.

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“…To obtain a better accuracy, bilateral breath measurements can be achieved by a dual-chip sensor tags as in [191].…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics

Bianco,

Occhiuzzi,

Panunzio

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…As an example of physical sensors, temperature sensing allows for monitoring, directly and indirectly, a number of biological conditions and psycho-physical parameters, such as skin temperature [25], breath rate [26], and inflammatory events [27]. Information for recognizing the behaviour of the patient or the medical staff can be obtained by knowing the reader's location and simply controlling when and where the tags are read [14], [28] or, in a finer way, by feeding machine learning algorithms with the RSSI (received signal strength indicator) and phase recorded from the tags' responses [13].…”

Section: Introductionmentioning

confidence: 99%

UHF RFID and NFC Point-of-Care—Architecture, Security, and Implementation

Bianco

Raso

Fiore

et al. 2023

IEEE J. Radio Freq. Identif.

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Points-of-care (PoCs) augment healthcare systems by performing care whenever needed and are becoming increasingly crucial for the well-being of the worldwide population. Personalized medicine, chronic illness management, and cost reduction can be achieved thanks to the widespread adoption of PoCs. Significant incentives for PoCs deployment are nowadays given by wearable devices and, in particular, by RFID (RadioFrequency IDentification) and NFC (Near Field Communications), which are rising among the technological cornerstones of the healthcare internet of things (H-IoT). To fully exploit recent technological advancements, this paper proposes a system architecture for RFID-and NFC-based PoCs. The architecture comprises in a unitary framework both interfaces to benefit from their complementary features, and gathered data are shared with medical experts through secure and user-friendly interfaces that implement the Fast Health Interoperability Resource (FHIR) emerging healthcare standard. The selection of the optimal UHF and NFC components is discussed concerning the employable sensing techniques. The secure transmission of sensitive medical data is addressed by developing a user-friendly "PoC App" that is the first web app exploiting attribute-based encryption (ABE). An application example of the system for monitoring the pH and cortisol levels in sweat is implemented and preliminarily tested by a healthy volunteer.

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“…In recent years, NFC and UHF RFID have therefore enabled a myriad of healthcare Internet of Things (H-IoT) systems [7], including telemonitoring [8][9][10], assistive devices for sensorial-impaired patients [11,12], and also intra-body communications [13,14]. Among the main advantages of the two technologies is the low cost of the single tags, which allows them to be disposable and vastly deployed, especially in the case of battery-less ones.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Aware Architectures for NFC and RFID Sensors in Healthcare Applications

Raso

Bianco

Bracciale

et al. 2022

Sensors

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World population and life expectancy have increased steadily in recent years, raising issues regarding access to medical treatments and related expenses. Through last-generation medical sensors, NFC (Near Field Communication) and radio frequency identification (RFID) technologies can enable healthcare internet of things (H-IoT) systems to improve the quality of care while reducing costs. Moreover, the adoption of point-of-care (PoC) testing, performed whenever care is needed to return prompt feedback to the patient, can generate great synergy with NFC/RFID H-IoT systems. However, medical data are extremely sensitive and require careful management and storage to protect patients from malicious actors, so secure system architectures must be conceived for real scenarios. Existing studies do not analyze the security of raw data from the radiofrequency link to cloud-based sharing. Therefore, two novel cloud-based system architectures for data collected from NFC/RFID medical sensors are proposed in this paper. Privacy during data collection is ensured using a set of classical countermeasures selected based on the scientific literature. Then, data can be shared with the medical team using one of two architectures: in the first one, the medical system manages all data accesses, whereas in the second one, the patient defines the access policies. Comprehensive analysis of the H-IoT system can be useful for fostering research on the security of wearable wireless sensors. Moreover, the proposed architectures can be implemented for deploying and testing NFC/RFID-based healthcare applications, such as, for instance, domestic PoCs.

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Dual-chip RFID On-skin Tag for Bilateral Breath Monitoring

Cited by 15 publications

References 15 publications

A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics

A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics

UHF RFID and NFC Point-of-Care—Architecture, Security, and Implementation

Privacy-Aware Architectures for NFC and RFID Sensors in Healthcare Applications

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